云南腾冲热海两热泉菌藻席细菌多样性的研究

应用显微形态观察和变性梯度凝胶电泳(DGGE)对云南腾冲热海两热泉菌藻席的细菌多样性进行了比较分析.直接从环境样品中提取总DNA,用两套细菌通用引物进行PCR扩增,得到包含V8和V9高变区的16S rDNA片段,进行DGGE分析,结合形态观察,结果显示,热泉菌藻席中存在丰富的细菌多样性,且不同温度范围的菌藻席细菌组成差异显著.     

Separation of fluorescence-labelled terminal restriction fragment DNA on a two-dimensional gel (T-RFs-2D) - an efficient approach for microbial consortium characterization

Fingerprinting techniques provide access to understanding the ecology of uncultured microbial consortia. However, the application of current techniques such as terminal restriction fragment length polymorphism (T-RFLP) and denaturing gradient gel electrophoresis (DGGE) has been hindered due to their limitations in characterizing complex microbial communities. This is due to that different populations possibly share the same terminal restriction fragments (T-RFs) and DNA fragments may co-migrate on DGGE gels. To overcome these limitations, a new approach was developed to separate terminal restriction fragments (T-RFs) of 16S rRNA genes on a two-dimensional gel (T-RFs-2D). T-RFs-2D involves restriction digestion of terminal fluorescence-labelled PCR amplified 16S rRNA gene products and their high-resolution separation via a two-dimensional (2D) gel electrophoresis based on the T-RF fragment size (1(st) D) and its sequence composition on the denaturing gradient gel (2(nd) D). The sequence information of interested T-RFs on 2D gels can be obtained through serial poly(A) tailing reaction, PCR amplification and subsequent DNA sequencing. By employing the T-RFs-2D method, bacteria with MspI digested T-RF size of 436 (±1) bp and 514 (±1) bp were identified to be a Lysobacter sp. and a Dehalococcoides sp. in a polychlorinated biphenyl (PCB) dechlorinating culture. With the high resolution of 2D separation, T-RFs-2D separated 63 DNA fragments in a complex river-sediment microbial community, while traditional DGGE detected only 41 DNA fragments in the same sample. In all, T-RFs-2D has its advantage in obtaining sequence information of interested T-RFs and also in characterization of complex microbial communities.     

Analysis of actinomycete communities by specific amplification of genes encoding 16S rRNA and gel-electrophoretic separation in denaturing gradients.

A group-specific primer, F243 (positions 226 to 243, Escherichia coli numbering), was developed by comparison of sequences of genes encoding 16S rRNA (16S rDNA) for the detection of actinomycetes in the environment with PCR and temperature or denaturing gradient gel electrophoresis (TGGE or DGGE, respectively). The specificity of the forward primer in combination with different reverse ones was tested with genomic DNA from a variety of bacterial strains. Most actinomycetes investigated could be separated by TGGE and DGGE, with both techniques giving similar results. Two strategies were employed to study natural microbial communities. First, we used the selective amplification of actinomycete sequences (E. coli positions 226 to 528) for direct analysis of the products in denaturing gradients. Second, a nested PCR providing actinomycete-specific fragments (E. coli positions 226 to 1401) was used which served as template for a PCR when conserved primers were used. The products (E. coli positions 968 to 1401) of this indirect approach were then separated by use of gradient gels. Both approaches allowed detection of actinomycete communities in soil. The second strategy allowed the estimation of the relative abundance of actinomycetes within the bacterial community. Mixtures of PCR-derived 16S rDNA fragments were used as model communities consisting of five actinomycetes and five other bacterial species. Actinomycete products were obtained over a 100-fold dilution range of the actinomycete DNA in the model community by specific PCR; detection of the diluted actinomycete DNA was not possible when conserved primers were used. The methods tested for detection were applied to monitor actinomycete community changes in potato rhizosphere and to investigate actinomycete diversity in different soils.     

Biodiversity analysis of microbial community in the chem-bioflocculation treatment process

Total DNA was directly extracted from environmental samples and amplified with polymerase chain reaction (PCR) technique. The PCR products were fingerprinted via denaturing gradient gel electrophoresis (DGGE). Significant differences were observed in the microbial community structures between traditional treatment process and chem-bioflocculation process. The microbial community structure shift at different sampling locations in chem-bioflocculation process and on two typical operational conditions was studied. 16S rDNA V3 regions of some dominant species were sequenced and the species were identified. The microbial communities were stable in both the chem-bioflocculation process and the activated sludge process under various experimental conditions presented in this work. The attached growth treatment process was less stable when operational conditions changed.     

Denaturing gradient gel electrophoresis (DGGE)-based monitoring of intestinal lactobacilli and bifidobacteria of pigs during a feeding trial

The aim of this study was to determine the influence of different feeding strategies on the gut microbiota of organic growing-finishing pigs. A total of 76 pigs were allocated to four different dietary treatments (control, probiotics, maize silage and grass silage). Effects of the applied probiotic preparation on the composition of the intestinal and faecal microbiota were monitored. By using a DGGE (denaturing gradient gel electrophoresis)-based methodology, fingerprints of the intestinal microbiota were obtained. The total microbial DNA was isolated from faecal and colon samples and amplified with PCR using different primer sets to detect bifidobacteria and lactobacilli. PCR products were separated using DGGE and the resulting profiles were compared with the findings of the other dietary treatments. Bands were excised from the gels and sequenced for further identification. Particularly two different DGGE profiles of bifidobacteria were observed, while lactobacilli showed larger variety within the dietary treatments.     

新疆一号冰川土壤细菌多样性的研究

应用变性梯度凝胶电泳（DGGE）技术分离PCR扩增的16SrDNA来研究土壤微生物的多样性。直接从新疆一号冰川不同海拔高度的土壤样品中提取总DNA。用两套细菌通用引物分别扩增16SrDNA的V3和V6／V9高变区的特异性片段,PCR产物进行DGGE分析。PCR—DGGE图谱表明,PCR产物经DGGE检测到的条带清晰且分离效果好。结果表明,PCR—DGGE是一种快速研究微生物群落结构的有效方法。     

Different influences of DNA purity indices and quantity on PCR-based DGGE and functional gene microarray in soil microbial community study

Based on the comparative study of the DNA extracts from two soil samples obtained by three commercial DNA extraction kits, we evaluated the influence of the DNA quantity and purity indices (the absorbance ratios A260/280 and A260/230, as well as the absorbance value A320 indicating the amount of humic substances) on polymerase chain reaction (PCR)-based denaturing gradient gel electrophoresis (DGGE) and a functional gene microarray used in the study of microbial communities. Numbers and intensities of the DGGE bands are more affected by the A260/280 and A320 values than by the ratio A260/230 and conditionally affected by the DNA yield. Moreover, we demonstrated that the DGGE band pattern was also affected by the preferential extraction due to chemical agents applied in the extraction. Unlike DGGE, microarray is more affected by the A260/230 and A320 values. Until now, the successful PCR performance is the mostly used criterion for soil DNA purity. However, since PCR was more influenced by the A260/280 ratio than by A260/230, it is not accurate enough any more for microbial community assessed by non-PCR-based methods such as microarray. This study provides some useful hints on how to choose effective DNA extraction method for the subsequent assessment of microbial community.     

变性梯度凝胶电泳(DGGE)在微生物生态学中的应用

由于从环境样品中分离和培养细菌的困难,分子生物学方法已发展用来描述和鉴定微生物群落。近年来基于DNA方法的群落分析得到了迅速的发展,如PCR扩增技术,克隆文库法,荧光原位杂交法,限制性酶切片段长度多态性法,变性和温度梯度凝胶电泳法。DGGE已广泛用于分析自然环境中细菌、蓝细菌,古菌、微微型真核生物、真核生物和病毒群落的生物多样性。这一技术能够提供群落中优势种类信息和同时分析多个样品。具有可重复和容易操作等特点,适合于调查种群的时空变化,并且可通过对切下的带进行序列分析或与特异性探针杂交分析鉴定群落成员。DGGE分析微生物群落的一般步骤如下：一是核酸的提取,二是16S rRNA,18S rRNA或功能基因如可容性甲烷加单氧酶羟化酶基因(mmoX)和氨加单氧酶a一亚单位基因(amoA)片段的扩增,三是通过DGGE分析PCR产物。DGGE使用具有化学变性剂梯度的聚丙烯酰胺凝胶,该凝胶能够有区别的解链PCR扩增产物。由PCR产生的不同的DNA片段长度相同但核苷酸序列不同。因此不同的双链DNA片段由于沿着化学梯度的不同解链行为将在凝胶的不同位置上停止迁移。DNA解链行为的不同导致一个凝胶带图案,该图案是微生物群落中主要种类的一个轮廓。DGGE使用所有生物中保守的基因片段如细菌中的16S rRNA基因片段和真菌中的18S rRNA基因片段。然而同其他分子生物学方法一样,DGGE也有缺陷,其中之一是只能分离较小的片段,使用于系统发育分析比较和探针设计的序列信息量受到了限制。在某些情况下,由于所用基因的多拷贝导致一个种类多于一条带,因此不易鉴定群落结构到种的水平。此外,该技术具有内在的如单一细菌种类16S rDNA拷贝之间的异质性问题,可导致自然群落中微生物数量的过多估计。DGGE是分析微生物群落的一种有力的工具。不过为了减少DGGE和其它技术的缺陷,建议研究者结合DGGE和其它分子及微生物学方法以便更详细的观察微生物的群落结构和功能。     

用于分析土壤微生物结构变化规律的变性梯度凝胶电泳条件研究

研究确定土壤微生物基因组DNA提取方法、PCR扩增条件、DGGE电泳条件,为进一步研究分析土壤中微生物结构变化规律提供理论依据。土壤微生物基因组DNA提取采用直接法和间接法进行比较; PCR扩增条件调整扩增体系、DGGE电泳条件调整变性剂范围,并对其结果进行比较分析。通过对DGGE电泳相关条件的研究,结果显示,土壤中粗基因组DNA采用直接法提取,然后进行纯化; PCR扩增体系中加入BSA,DGGE电泳系统组成中变性剂浓度范围为35%～55%。确定了土壤微生物基因组DNA提取方法、PCR扩增条件、DGGE电泳条件,为后续的相关研究提供理论依据。     

PCR指纹图谱技术分析人体口腔内微生物菌群结构

目的 应用PCR-DGGE指纹图谱技术对人体口腔微生物菌群结构进行系统性研究.方法 对1例健康人唾液周期性采集的样品和8例健康人个体的唾液与牙菌斑采集的样品,进行微生物群落总DNA的抽提.以此为模板扩增16S rRNA V3可变区,产物经DGGE指纹图谱分析其组成结构,并运用UVIBAND/MAP等软件比较所得群落指纹图谱的相似性指数.结果 同一健康人个体不同采样时间的唾液菌群结构相似性系数＞74%,通过对不同健康个体口腔样本的研究,发现同一个体的唾液与牙菌斑菌群结构存在差异（84%～95%）.结论 同一健康个体其唾液微生物菌群在一定时间内基本稳定,仅有微小的变化;唾液与同个体牙菌斑的微生物组成虽然存在差异,但这种差异要明显小于个体间的差异.     

PCR-DGGE技术在农田土壤微生物多样性研究中的应用

变性梯度凝胶电泳技术(DGGE)在微生物生态学领域有着广泛的应用。研究采用化学裂解法直接提取出不同农田土壤微生物基因组DNA,并以此基因组DNA为模板,选择特异性引物F357GC和R515对16S rRNA基因的V3区进行扩增,长约230bp的PCR产物经变性梯度凝胶电泳(DGGE)进行分离后,得到不同数目且分离效果较好的电泳条带。结果说明,DGGE能够对土壤样品中的不同微生物的16S rRNA基因的V3区的DNA扩增片断进行分离,为这些DNA片断的定性和鉴定提供了条件。与传统的平板培养方法相比,变性梯度凝胶电泳(DGGE)技术能够更精确的反映出土壤微生物多样性,它是一种有效的微生物多样性研究技术。     

Characterization and comparison of microbial community of different typical Chinese liquor Daqus by PCR-DGGE

Aims: To identify and compare microbiota in Chinese liquor Daqu, which were produced in the different regions using different production process. Methods and Results: The DNA exacted from Daqu samples was used as a template for PCR with universal primers of 16S rRNA, 26S rRNA and 18S rRNA, respectively. The amplicons were analysed using denaturing gradient gel electrophoresis (DGGE). It was observed that the bacterial DGGE profile indicated high diversity and predominance of lactic acid bacteria. The results showed that Saccharomycopsis fibuligera and Pichia anomal were dominant yeast species and that several non‐Saccharomyces yeasts including Hanseniaspora guilliermondii, Debaryomyces hansenii, Issatchenkia orientalis and Trichosporon asahii were also detected. As for fungal DGGE, Aspergillus oryzae and Absidia blakesleeana were the most common species amongst different samples. Based on the DGGE analysis, a few differences in community structure were found between Daqu samples. Conclusions: A variety of bacteria, yeast and moulds were identified in Daqu samples, in addition to the present knowledge obtained mainly through the traditional culture‐dependent methods. Moreover, production temperature played a more decisive role on the formation of micro‐organism composition in Daqu than geographical region. Significance and Impact of the Study: PCR–DGGE technique was used in this study to fully observe and asses all microbial community (including bacteria, yeast and mould) in Chinese liquor Daqu for the first time and proved to be effective in profiling Daqu microbial diversity.     

Variable selection in high-dimensional multivariate binary data with application to the analysis of microbial community DNA fingerprints

In order to understand the relevance of microbial communities on crop productivity, the identification and characterization of the rhizosphere soil microbial community is necessary. Characteristic profiles of the microbial communities are obtained by denaturing gradient gel electrophoresis (DGGE) of polymerase chain reaction (PCR) amplified 16S rDNA from soil extracted DNA. These characteristic profiles, commonly called community DNA fingerprints, can be represented in the form of high-dimensional binary vectors. We address the problem of modeling and variable selection in high-dimensional multivariate binary data and present an application of our methodology in the context of a controlled agricultural experiment.     

New Group-Specific 16S rDNA Primers for Monitoring Foaming Mycolata During Saline Waste-Water Treatment

Newly designed group-specific PCR primers for denaturing gradient gel electrophoresis (DGGE) were used to investigate foaming mycolata from a bioreactor treating an industrial saline waste-water. Genetic profiles on DGGE gels were different with NaCl at 1.65 and 8.24 g l⁻¹, demonstrating that mycolata community was affected by salinity. A semi-nested PCR strategy resulted in more bands in community genetic profiles than direct amplification. DNA sequencing of bands confirmed the efficacy of the novel primers with sequences recovered being most similar to foam producing mycolata. The new group-specific primers/DGGE approach is a new step toward a more complete understanding of functionally important groups of bacteria involved in biological treatment of waste-water. Revisions requested 1 December 2005; Revisions received 19 December 2005     

Assessing the bias linked to DNA recovery from biofiltration woodchips for microbial community investigation by fingerprinting

In this study, we explored methodological aspects of nucleic acid recovery from microbial communities involved in a gas biofilter filled with pine bark woodchips. DNA was recovered indirectly in two steps, comparing different methods: cell dispersion (crushing, shaking, and sonication) and DNA extraction (three commercial kits and a laboratory protocol). The objectives were (a) to optimize cell desorption from the packing material and (b) to compare the 12 combinations of desorption and extraction methods, according to three relevant criteria: DNA yield, DNA purity, and community structure representation by denaturing gradient gel electrophoresis (DGGE). Cell dispersion was not influenced by the operational parameters tested for shaking and blending, while it increased with time for sonication. DNA extraction by the laboratory protocol provided the highest DNA yields, whereas the best DNA purity was obtained by a commercial kit designed for DNA extraction from soil. After successful PCR amplification, the 12 methods did not generate the same bias in microbial community representation. Eight combinations led to high diversity estimation, independently of the experimental procedure. Among them, six provided highly similar DGGE profiles. Two protocols generated a significantly dissimilar community profile, with less diversity. This study highlighted the crucial importance of DNA recovery bias evaluation.     

Methanogenic profiles by denaturing gradient gel electrophoresis using order-specific primers in anaerobic sludge digestion

In the present study, the diversity of methanogenic populations was monitored for 25 days, together with the process data for an anaerobic batch reactor treating waste-activated sludge. To understand this microbial diversity and dynamics, 16S rRNA-gene-targeted denaturing gradient gel electrophoresis (DGGE) fingerprinting was conducted at two different taxonomic levels: the domain and order levels. The DGGE profiles of the domain Archaea and the three orders Methanosarcinales, Methanomicrobiales, and Methanobacteriales were comparatively analyzed after each DGGE band was sequenced to enable identification. The DGGE profiles of the three orders showed methanogens belonging to each order that were not detected in the DGGE profile of the Archaea. This discrepancy may have resulted from PCR bias or differences in the abundances of the three microbial orders in the anaerobic bioreactor. In conclusion, to fully understand the detailed methanogenic diversity and dynamics in an anaerobic bioreactor, it is necessary to conduct DGGE analysis with 16S rRNA gene primers that target lower taxonomic groups.     

Correlations between molecular and operational parameters in continuous lab-scale anaerobic reactors

In this study, the microbial community characteristics in continuous lab-scale anaerobic reactors were correlated to reactor functionality using the microbial resource management (MRM) approach. Two molecular techniques, denaturing gradient gel electrophoresis (DGGE) and terminal-restriction fragment length polymorphism (T-RFLP), were applied to analyze the bacterial and archaeal communities, and the results obtained have been compared. Clustering analyses showed a similar discrimination of samples with DGGE and T-RFLP data, with a clear separation between the meso- and thermophilic communities. Both techniques indicate that bacterial and mesophilic communities were richer and more even than archaeal and thermophilic communities, respectively. Remarkably, the community composition was highly dynamic for both Bacteria and Archaea, with a rate of change between 30% and 75% per 18 days, also in stable performing periods. A hypothesis to explain the latter in the context of the converging metabolism in anaerobic processes is proposed. Finally, a more even and diverse bacterial community was found to be statistically representative for a well-functioning reactor as evidenced by a low Ripley index and high biogas production.     

Process stability and microbial community structure in anaerobic hydrogen-producing microflora from food waste containing kimchi

Hydrogen production by the dark fermentation of food wastes is an economic and environmentally friendly technology to produce the clean energy source as well as to treat the problematic wastes. However, the long-term operations of the continuous anaerobic reactor for fermentative hydrogen production were frequently unstable. In this study, the structure of microbial community within the anaerobic reactor during unstable hydrogen production was examined by denaturing gradient gel electrophoresis (DGGE) and terminal restriction fragment length polymorphism (T-RFLP) techniques. The changes in microbial community from H(2)-producing Clostridium spp. to lactic acid-producing Lactobacillus spp. were well coincident with the unexpected process failures and the changes of metabolites concentrations in the effluent of the anaerobic reactor. As the rate of hydrogen production decreased, effluent lactic acid concentration increased. Low rate of hydrogen production and changes in microbial community were related to the 'kimchi' content and storage temperature of food waste feed solution. After low temperature control of the storage tank of the feed solution, any significant change in microbial community within the anaerobic reactor did not occur and the hydrogen production was very stably maintained for a long time.